《Monetary policy and corporate financing: Evidence from different industries》

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作者
Yaoyao Li;Yuan Qi;Licheng Liu;Jingtao Yao;Xin Chen;Ting Du;Xin Jiang;Daolin Zhu
来源
CITIES,Vol.122,Issue1,Article 103544
语言
英文
关键字
Real estate market;Monetary policy;Panel regression model;Expectation
作者单位
College of Land Science and Technology, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Public Administration, Chongqing Technology and Business University, Chongqing 400067, China;Center for Land Policy and Law, Beijing 100193, China;College of Land Science and Technology, China Agricultural University, Beijing 100193, China;College of Resources and Environmental Sciences, China Agricultural University, Beijing 100193, China;College of Public Administration, Chongqing Technology and Business University, Chongqing 400067, China;Center for Land Policy and Law, Beijing 100193, China
摘要
To reveal the effect of monetary policy on corporate financing, this study compared the effect of tightened monetary policy on bank loans and commercial credit financing for real estate companies and manufacturing companies. We further analyzed the land purchase behaviors of typical real estate companies under different monetary policies. The results indicated the following: (1) The effects of monetary policy were heterogeneous among different industries. Tightened monetary policy significantly inhibited the financing scale of manufacturing companies in terms of both bank loans and commercial credit, but it had no effect on real estate companies. (2) The phenomenon of financing discrimination was found to exist among listed Chinese companies. Bank credit preference for state-owned enterprises was demonstrated for both the real estate and manufacturing industries. Lastly, (3) when positive expectations regarding real estate market development were not changed, government intervention through monetary policy was ineffective. These findings can provide a reference for real estate market regulation and credit allocation. The government should seek to change overly positive expectations regarding housing prices and strengthen the construction of a prudential regulation system to avoid the systemic financial risks caused by the real estate market. Meanwhile, it is necessary to relax the financing constraints of private enterprises and change the soft budget constraints of state-owned enterprises to eliminate credit discrimination.